Similar to ESRGAN [1]} and Real-ESRGAN [2]}, we adopt DIV2K [3]}, Flickr2K [4]} and OutdoorSceneTraining [5]} datasets for training. For evaluation, we use the dataset provided in the challenge of Real-World Super-Resolution: AIM19 [6]}, and we also use a test set:
RealSRSet [7]} modeling DLSR camera corruptions. In all cases, we use \(\times 4\)  upsampling.
